ArticleJournal of biomedical optics2022
Characterization and identification of cell death dynamics by quantitative phase imaging.
Article in Journal of biomedical optics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Morphological and Optical Characterization of NRAS-Mutant Melanoma Cells and Primary Melanocytes via Quantitative Phase Imaging With Digital Holographic Microscopy.Cell biochemistry and function · 2026Article
- High-Resolution Imaging of Morphological Changes Associated with Apoptosis and Necrosis Using Single-Cell Full-Field Optical Coherence Tomography.Biosensors · 2025Article
- To label or not: the need for validation in label-free imaging.Journal of biomedical optics · 2024Review
- Deep-learning based 3D birefringence image generation using 2D multi-view holographic images.Scientific reports · 2024Article
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3 authors.
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Abstract
significanceInvestigating cell death dynamics at the single-cell level plays an essential role in biological research. Quantitative phase imaging (QPI), a label-free method without adverse effects of exogenous labels, has been widely used to image many types of cells under various conditions. However, the dynamics of QPI features during cell death have not been thoroughly characterized.
aimWe aim to develop a label-free technique to quantitatively characterize single-cell dynamics of cellular morphology and intracellular mass distribution of cells undergoing apoptosis and necrosis. APPROACH: QPI was used to capture time-lapse phase images of apoptotic, necrotic, and normal cells. The dynamics of morphological and QPI features during cell death were fitted by a sigmoid function to quantify both the extent and rate of changes.
resultsThe two types of cell death mainly differed from normal cells in the lower phase of the central region and differed from each other in the sharp nuclear boundary shown in apoptotic cells.
conclusionsThe proposed method characterizes the dynamics of cellular morphology and intracellular mass distributions, which could be applied to studying cells undergoing state transition such as drug response.
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